MAI-Image-2.5 is a text-to-image and image editing model that handles localized edits, identity preservation, and text rendering. Available via Foundry and OpenRouter for developers building production image workflows.
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MAI-Image-2.5 is a text-to-image and image editing model that handles localized edits, identity preservation, and text rendering. It ranks No. 2 on Arena’s Image Edit leaderboard, ahead of Nano Banana 2.1, and is available via Foundry and OpenRouter for developers building production image workflows. The model also powers Microsoft products like PowerPoint and OneDrive, enabling high-quality generation and precise, controllable editing at scale.
MAI-Image-2.5 produces more detailed, coherent images from prompts, with stronger text rendering, product imagery, and prompt adherence. It delivers a +75 point improvement over MAI-Image-2 on Arena scores.
The model understands scene structure, lighting, scale, and spatial relationships. This allows it to make edits that fit the image context, such as adding an object with the right perspective and shadows.
MAI-Image-2.5 supports precise, localized edits — from replacing an object or updating text to removing motion blur — without changing the rest of the image. This makes it suitable for production editing workflows.
The model preserves facial identity across edits, maintaining recognizable likeness even through changes in pose, expression, or viewpoint. This is critical for applications requiring consistent character or person imagery.
MAI-Image-2.5 ranks No. 2 on Arena’s Image Edit leaderboard, ahead of Nano Banana 2.1, and delivers a +75 point improvement over its predecessor.
This ranking reflects strong performance across 12 editing categories, with the largest gains in Text Rendering (+107) and Cartoon, Anime & Fantasy (+90). The model also powers Microsoft products like PowerPoint and OneDrive, making it one of the few image models integrated directly into enterprise productivity tools.
You need a production-ready image model that combines high-quality generation with precise, localized editing. It’s especially relevant if you’re building workflows that require identity preservation, text rendering, or complex visual reasoning — or if you want to leverage the same model powering Microsoft’s PowerPoint and OneDrive features.
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